Data Scientist Salary in India (2026): Fresher to Senior, Per Month Breakdown & Company-Wise Guide
The most complete guide to data scientist salary in India — covering average salary, fresher packages, monthly in-hand figures, salary by city, company-wise data (Google, Amazon, TCS), and how skills like GenAI affect your pay. Updated for FY 2026–27.
Average Salary India
₹12 LPA
Median across all levels · 2026
Salary Per Month (Mid-Level)
₹75K–1L
3–6 yrs exp · Source: Glassdoor India
Senior Data Scientist
₹25–50 LPA
7–12 yrs exp · Bangalore benchmark
Job Growth (2023–2033)
36%
Fastest-growing tech career in India
📋 Table of Contents
⚡ Quick Facts
If you're searching "data scientist salary in India" — you want one answer: what will I actually earn, and is it worth it?
The honest truth: data science is one of the highest-paying careers in India in 2026, but the range is huge — a fresher earns ₹4–6 LPA while a senior at Google can pull ₹50 LPA+. This guide breaks every variable down with real numbers.
Data Scientist Salary in India — Quick Overview (2026)
Here's a snapshot of what data scientists earn at each career stage — based on AmbitionBox, Glassdoor, and LinkedIn Salary Insights (FY 2026–27).
| Experience | Salary Range | Avg CTC | Monthly In-Hand | Typical Roles |
|---|---|---|---|---|
| Fresher (0–1 yr) | ₹4–₹10 LPA | ₹6 LPA | ₹38K–₹60K | Junior Data Scientist, Data Analyst |
| Junior (1–3 yrs) | ₹8–₹14 LPA | ₹11 LPA | ₹55K–₹85K | Data Scientist, ML Engineer |
| Mid-Level (4–7 yrs) | ₹12–₹25 LPA | ₹18 LPA | ₹80K–₹1.5L | Senior Data Scientist, Lead ML Engineer |
| Senior (8–12 yrs) | ₹22–₹50 LPA | ₹32 LPA | ₹1.4L–₹2.8L | Lead Data Scientist, Staff ML Engineer |
| Director/VP (12+ yrs) | ₹50L–₹1.5 Cr | ₹90 LPA | ₹3L+ | Head of Data Science, CDO, VP Analytics |
*Monthly in-hand under New Tax Regime (FY 2026–27). Source: AmbitionBox, Glassdoor India, LinkedIn Salary Insights 2026.
📊 Salary by Seniority (Avg CTC, LPA)
India 2026 · Source: AmbitionBox · Glassdoor · Levels.fyi
📈 5-Year Salary Growth Trend
Avg LPA · 2019–2024 · Source: LinkedIn · NASSCOM
🧮 Interactive Data Scientist Salary Calculator (India 2026)
Estimate your expected CTC and monthly in-hand salary based on experience, city, company type, and specialisation — benchmarked from AmbitionBox, Glassdoor India, and Levels.fyi.
Data Scientist Salary Calculator
Adjust filters to see your estimated salary in real-time.
Estimated Annual CTC
₹18 LPA
Range: ₹15L – ₹22L
You're in the ~55th percentile
Data Scientist Salary Per Month in India
CTC and monthly in-hand are two very different numbers. Here's what actually gets credited to your account — calculated under New Tax Regime (FY 2026–27).
| Annual CTC | Monthly Gross | Approx. Monthly In-Hand | Who Earns This |
|---|---|---|---|
| ₹4 LPA | ~₹33,333 | ₹28,000–₹30,000 | Fresher, service-based IT |
| ₹6 LPA | ~₹50,000 | ₹42,000–₹45,000 | Fresher avg CTC |
| ₹10 LPA | ~₹83,333 | ₹68,000–₹72,000 | Junior DS, 1–2 yrs |
| ₹15 LPA | ~₹1,25,000 | ₹98,000–₹1,05,000 | Mid-level, Bangalore |
| ₹20 LPA | ~₹1,66,667 | ₹1,28,000–₹1,35,000 | Senior DS, product co. |
| ₹30 LPA | ~₹2,50,000 | ₹1,85,000–₹2,00,000 | Lead / Principal, top MNC |
| ₹50 LPA | ~₹4,16,667 | ₹2,80,000–₹3,10,000 | Director level |
💡 Always ask for fixed vs. variable split. A ₹20 LPA offer with 30% variable gives the same monthly as a ₹14 LPA all-fixed offer. Know what you're actually taking home before signing.
Data Scientist Salary by Experience Level in India
Fresher Data Scientist Salary in India (0–1 Year)
Fresh graduates earn between ₹4–10 LPA, averaging ₹6 LPA. Top-tier college grads joining FAANG or analytics firms can land ₹8–12 LPA even at the fresher level.
| Job Role | Salary Range (LPA) | Monthly In-Hand |
|---|---|---|
| Data Analyst (Entry) | ₹3–₹6 LPA | ₹22K–₹42K |
| Junior Data Scientist | ₹4–₹10 LPA | ₹28K–₹65K |
| ML Engineer (Fresher) | ₹5–₹12 LPA | ₹35K–₹80K |
| Business Analyst | ₹4–₹8 LPA | ₹28K–₹55K |
Mid-Level Data Scientist Salary in India (4–7 Years)
Salaries become genuinely competitive — ₹12–25 LPA on average. GenAI/LLM specialists command 20–30% above market for their band.
Senior Data Scientist Salary in India (8+ Years)
Senior professionals earn ₹22–50 LPA. With ESOPs and bonuses included, top-company packages push significantly higher. Directors and VPs cross ₹50 LPA to ₹1.5 crore+.
Data Scientist Salary by Company — India 2026
Aggregated from Glassdoor, AmbitionBox, and Levels.fyi. All figures are Total CTC including base, bonus, and ESOPs.
Google (Alphabet)
FAANG · Bangalore, Hyderabad
Amazon
FAANG · Bangalore, Hyderabad
Microsoft
Big Tech · Hyderabad, Bangalore
Fractal Analytics
Analytics Firm · Mumbai, Bangalore
Flipkart
E-commerce Product · Bangalore
TCS / Infosys / Wipro
Service-Based IT · Pan India
📊 Key Insight: FAANG companies pay 3–5x more than service-based IT at the same experience level. A 5-year data scientist at Google earns what a 15-year professional earns at TCS. This single factor is the biggest salary lever in data science.
Data Scientist Salary by City in India (2026)
Location matters — driven by tech company density, talent competition, and cost-of-living adjustments companies build into their packages.
📍 Average Annual Salary by City
2026 · Source: AmbitionBox, Naukri Research
📊 Bangalore vs National Avg
By experience · Source: AmbitionBox 2026
Data Scientist Salary — India vs Other Countries (2026)
| Country | Avg Annual Salary | In INR (Approx.) | Tax | Verdict |
|---|---|---|---|---|
| 🇺🇸 USA | $1,10,000–$1,50,000 | ₹90L–₹1.25 Cr | High | Highest Pay |
| 🇨🇦 Canada | CAD 85K–1,10,000 | ₹52–₹67 LPA | High | PR Friendly |
| 🇬🇧 UK | £50,000–£80,000 | ₹53–₹85 LPA | High | Good Growth |
| 🇦🇪 UAE / Dubai | AED 1,80,000–3,00,000 | ₹40–₹67 LPA | Tax-Free ✓ | Best Value |
| 🇩🇪 Germany | €55,000–€80,000 | ₹50–₹73 LPA | High | EU Access |
| 🇸🇬 Singapore | SGD 70,000–1,10,000 | ₹43–₹68 LPA | Low-Mod | Rising Fast |
| 🇮🇳 India | — | ₹10–₹20 LPA (avg) | New Regime | Growing Fast |
Data Scientist vs Data Analyst Salary in India
| Role | Fresher | Mid-Level | Senior | Top Skill 2026 |
|---|---|---|---|---|
| Data Scientist | ₹4–10 LPA | ₹12–25 LPA | ₹22–50 LPA | ML, Deep Learning, Python |
| Data Analyst | ₹3–7 LPA | ₹7–18 LPA | ₹15–28 LPA | SQL, Tableau, Power BI |
| ML Engineer | ₹5–12 LPA | ₹14–28 LPA | ₹25–55 LPA | MLOps, Cloud, TensorFlow |
| Data Engineer | ₹4–10 LPA | ₹12–22 LPA | ₹20–40 LPA | Spark, Kafka, Airflow |
| AI/GenAI Specialist ⭐ | ₹6–15 LPA | ₹18–35 LPA | ₹35–70 LPA | LLMs, RAG, Fine-tuning |
🚀 2026 Trend: GenAI/AI Specialists earn 30–50% more than traditional data scientists at the same experience level. LLM fine-tuning, RAG pipelines, and prompt engineering are the fastest salary accelerators right now.
Skills That Increase Data Scientist Salary in India
| Skill | Salary Premium | Demand (2026) | Why It Matters |
|---|---|---|---|
| Python (Advanced) | Baseline | 🔴 Must-have | Primary DS/ML language |
| Machine Learning | +10–20% | 🔴 Must-have | Regression, trees, clustering |
| Deep Learning / NNs | +20–35% | 🟠 High | Vision, NLP, advanced models |
| LLMs / GenAI ⭐ | +30–50% | 🟠 Highest | #1 demand skill in 2025–26 |
| Cloud ML (AWS/GCP/Azure) | +15–30% | 🟠 High | MLOps and enterprise deployment |
| Big Data (Spark, Kafka) | +15–25% | 🟡 Medium | Large-scale data pipelines |
| SQL (Advanced) | +5–10% | 🔴 Must-have | Data querying at every level |
Factors Affecting Data Scientist Salary in India
1. Experience Level
The single biggest determinant. Fresher to 3 years can double your package. At senior levels, specialisation matters more than years.
2. Technical Skills
Python + ML is the floor. GenAI specialists earn 25–50% more than generalists at the same experience level.
3. Company Type
Product companies pay 40–80% more than service IT. Google vs TCS at the same experience = ₹10–20 LPA difference.
4. Education
IIT/NIT grads get premium starting packages. After 2–3 years, portfolio and impact outweigh college brand.
5. Location
Bangalore and Gurugram pay 7–8% above national average. Relocating to Tier-1 can raise offer by 15–25% immediately.
6. Industry Sector
Finance, e-commerce, and AI-native companies pay the most. Healthcare tech is the fastest-growing DS hiring sector in 2026.
Why Is Data Scientist Salary So High in India?
Demand consistently far exceeds supply. Data science skills take years to build, and truly job-ready professionals remain scarce relative to hiring appetite across sectors.
Healthcare & Pharmaceuticals
ML models predicting disease, optimising drug discovery, and personalising treatments have made data scientists indispensable. Indian pharma and health-tech startups hire aggressively, often matching global IT salary bands.
Financial Services & Fintech
Fraud detection, credit risk modelling, algorithmic trading, and churn prediction are now core banking operations. Finance offers some of the highest data scientist salaries in India, particularly in Mumbai and Gurugram.
E-Commerce & Consumer Tech
Flipkart, Amazon India, Meesho, and Swiggy run on data science at their core — recommendation engines, demand forecasting, pricing optimisation. ROI on good data science is directly measurable in revenue, which is why pay is premium.
Final Thoughts
Data science is one of the best-paying, most future-proof careers in India in 2026. Key takeaways: product companies pay dramatically more than service companies. Upskilling in GenAI is the fastest near-term lever. And location — Bangalore or Gurugram — commands a meaningful premium. Build things that matter, stay current, and the numbers will follow.
FAQs — Data Scientist Salary in India (2026)
The average data scientist salary in India across all levels is approximately ₹10–15 LPA. Freshers start at ₹4–6 LPA, mid-level professionals earn ₹12–25 LPA, and senior data scientists command ₹22–50 LPA or more.
At ₹6 LPA (fresher avg), monthly in-hand is roughly ₹42,000–₹45,000. At ₹15 LPA, expect ₹98,000–₹1,05,000/month. Senior professionals at ₹30 LPA earn approximately ₹1,85,000–₹2,00,000 monthly under New Tax Regime.
A fresher data scientist in India earns ₹4–10 LPA, averaging ₹6 LPA. Top-tier college graduates joining product companies or FAANG firms can receive ₹8–12 LPA even at the fresher level.
Google India is the highest payer — data scientists earn ₹28–55 LPA at L4 and senior scientists cross ₹90 LPA–1.5 Cr at L6. Amazon and Microsoft are close behind. Product companies consistently pay 60–80% more than service-based IT.
Gurugram (₹10.26 LPA avg) and Bangalore (₹10.11 LPA avg) are the top-paying cities, both 7–8% above the national average, driven by MNC concentration and competitive talent markets.
A US data scientist earns $1,10,000–$1,50,000/year (₹90L–₹1.25 Cr). India avg is ₹10–15 LPA for mid-level. The absolute gap is large, but India's lower cost of living and now remote/hybrid opportunities make the comparison more nuanced.
The highest premiums go to LLMs, GenAI (RAG, fine-tuning), Deep Learning, Cloud ML platforms, and Big Data tools. GenAI specialisation alone can add 30–50% to market salary versus a generalist data scientist at the same experience.
Yes — one of the best. Data science has ~36% projected job growth between 2023 and 2033. Demand consistently outpaces supply, salaries keep rising, and GenAI adoption is creating new high-paying specialisations every year.



